{"id":"W2904553117","doi":"10.4038/tar.v28i4.8238","title":"Evaluation of field layout for the cultivation of other field cropsin bayawa minor irrigation systemin Sri Lanka","year":2017,"lang":"en","type":"article","venue":"Tropical Agricultural Research","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Agriculture; Sri lanka; Tropical agriculture; Irrigation; Agroforestry; Crop; Resource (disambiguation); Geography; Agronomy; Agricultural science; Agricultural economics; Biology; Biotechnology; Ecology; Environmental planning; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001557368,0.000477205,0.000377529,0.001130583,0.0008365278,0.001108019,0.001063095,0.0002645686,0.002928977],"category_scores_gemma":[0.002739072,0.0002109931,0.000563915,0.001421576,0.0004580358,0.000592272,0.0005470651,0.0002861559,0.0003136347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003984164,"about_ca_system_score_gemma":0.003534688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03240668,"about_ca_topic_score_gemma":0.09868279,"domain_scores_codex":[0.9985235,0.0006178228,0.00009606708,0.0002538759,0.0002922286,0.0002164934],"domain_scores_gemma":[0.9963223,0.001156424,0.0006931296,0.000253682,0.0009665027,0.0006078908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004208967,0.004132028,0.5802417,0.001584919,0.0002740992,0.001857124,0.004941696,0.01414765,0.1751088,0.001058455,0.002259637,0.2101848],"study_design_scores_gemma":[0.00007180206,0.007979476,0.97068,0.00005965784,0.0001093835,0.0001233858,0.007650765,0.003846171,0.006440025,0.0001161527,0.002875795,0.00004738355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956221,0.0001470017,0.0008078354,0.00005062716,0.00001197741,0.0002358761,0.0004242541,0.00004215584,0.002658145],"genre_scores_gemma":[0.9919328,0.0001898507,0.005647584,0.00001561904,0.000004739919,0.0002078713,0.0006533514,0.00001216454,0.001336138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03240668,"threshold_uncertainty_score":0.06443614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2321008881354321,"score_gpt":0.4163465511101553,"score_spread":0.1842456629747232,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}